This project is a Streamlit application that allows users to upload an image and interact with it through a chat interface. The application utilizes the Groq API and mistral API to generate responses based on user prompts related to the uploaded image.
- Upload images in formats such as JPG, JPEG, or PNG.
- Select between different AI models for generating responses.
- View chat history between the user and the assistant.
- A clean and modern UI styled with Tailwind CSS.
- Python: Main programming language.
- Streamlit: Framework for building the web application.
- Groq: API for generating responses based on images and prompts.
- mistral: API for generating responses based on images and prompts.
- Tailwind CSS: CSS framework for styling the UI.
- dotenv: For loading environment variables.
- Python 3.10
- An active Groq API key
- An active Mistral API key
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Clone the repository:
git clone https://github.com/Hassn11q/chat-with-image.git cd chat-with-image -
Install the required packages: you can install the required packages using pip:
pip install -r requirements.txt- Set up environment variables: Create a .env file in the root directory of the project and add your Groq API key:
GROQ_API_KEY=your_api_key
MISTRAL_API_KEY =your_api_key- Run the application:
streamlit run app.py- Access the application: Open your web browser and navigate to localhost to access the application.